T. Bolton

Artificial Intelligence · European Heart Journal · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom T. Bolton trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jerome H. Friedman
  2. Daniel J. Stekhoven

Who trusts T. Bolton overall

  1. Sameer Quazi

Papers from T. Bolton's perspective

Ordered by how strongly the researchers T. Bolton trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Greedy function approximation: A gradient boosting machine.
  2. Deep Learning
  3. Rosuvastatin to prevent vascular events in men and women with elevated C-reactive protein. (New England Journal of Medicine)
  4. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement
  5. Risk scoring for the primary prevention of cardiovascular disease
  6. Can machine-learning improve cardiovascular risk prediction using routine clinical data? (PLoS ONE)
  7. MissForest - non-parametric missing value imputation for mixed-type data (Bioinform.)
  8. UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
  9. Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. (Archives of Internal Medicine)
  10. Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population

Their papers